AI for Code, Code for AI | WSO2Con Barcelona 2025
AI Summary
Summary of AI Panel Session
Speaker Introduction
- Dr. Ria Kalaf introduced by Sanjiva.
- Background: Masters and Bachelor’s from MIT; worked at IBM Research as AI Engineering Unit Head and as CIO/CDO at various companies. Currently heading AI work at WSO2.
Current AI Landscape
- AI technology has evolved with better computing and data accessibility.
- Generative AI is revolutionizing capabilities: users can harness AI easily.
- Increasing investment and innovation in AI; 2 million AI projects on GitHub.
Building AI-Native Applications
- Applications expected to integrate AI as a core component.
- AI agents can perform tasks within applications, evolving towards autonomy.
- Importance of responsible AI practices: continuously evaluate and monitor AI models.
Responsible AI Considerations
- Areas include robustness, privacy, and fairness in AI systems.
- AI models are vulnerable to biases and potential misuse (e.g., generating harmful information).
- Need for continuous evaluation and governance in AI usage.
AI Development Lifecycle
- Shift from traditional software testing to evaluation (ensuring quality, monitoring performance).
- Emphasis on human oversight to ensure AI-generated results meet standards.
- Encouragement to adopt AI technologies carefully and responsibly.
Conclusion
- Importance of integrating AI into everyday processes while being cautious about its limitations and implications.
- Emphasize on getting hands-on experience with AI tools to understand their practical applications.